Sr. Director, AI Engineering

What Are We Looking For?

We are seeking a visionary Sr. Director of AI Engineering to lead the development and deployment of our next-generation, AI-powered cybersecurity solutions. This critical role will shape SentinelOne's competitive advantage by translating cutting-edge AI research into production-grade, globally scalable products that proactively stay ahead of cybercriminals and tomorrow's threats. You will drive the strategy and execution for our core AI platforms, directly impacting our ability to deliver industry-leading protection to our customers. This is an exciting opportunity to build a world-class AI organization and infrastructure, working on complex challenges in a bold, innovative way. Your leadership will be pivotal in cementing SentinelOne’s position at the forefront of the cybersecurity industry.

What Will You Do?

• Define and execute the technical roadmap for AI engineering, focusing on bringing the most recent advances in machine learning technology to help our customers efficiently discover and defeat threats
• Lead and mentor multiple globally-distributed AI engineering teams, fostering a culture of technical excellence and continuous innovation
• Design and build net new AI capabilities that will be used across SentinelOne’s industry-leading platform
• Drive cross-functional collaboration across multiple engineering teams to ensure seamless integration and innovation in AI-powered cybersecurity products
• Oversee the establishment of best practices for MLOps, security, and performance monitoring to ensure the reliability and efficacy of our AI defense mechanisms

What Skills and Knowledge Should You Bring?

• 10+ years of progressive experience in software or machine learning engineering, with at least 4 years in a senior leadership role managing multiple AI/ML teams
• Proven track record of delivering multiple high-scale, production-ready AI or data products from concept through deployment and maintenance
• Deep expertise in building highly available, low-latency machine learning systems, including experience with Machine Learning workflows and processes
• Experience in endpoint security or OS concepts or a related field with comparable large-scale event processing and real-time processing challenges
• Demonstrated ability to hire, develop, and retain top-tier AI engineering talent
• Expert-level knowledge of cloud-native MLOps platforms (e.g., Kubeflow) and large-scale data processing technologies, including hands-on familiarity with Docker, Kubernetes, and operating in cloud environments, especially AWS and Google Cloud

Why Us?

• You will be joining a cutting-edge company, where you will tackle extraordinary challenges and work with the very best in the industry
• Medical, Vision, Dental, 401(k), Commuter, Health and Dependent FSA
• Unlimited PTO
• Industry-leading gender-neutral parental leave
• Paid company holidays
• Paid sick time
• Employee stock purchase program
• Disability and life insurance
• Employee assistance program
• Gym membership reimbursement
• Cell phone reimbursement
• Numerous company-sponsored events including regular happy hours and team-building events